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Titlebook: Languages, Compilers and Run-Time Systems for Scalable Computers; Boleslaw K. Szymanski,Balaram Sinharoy Book 1996 Springer Science+Busine

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Enabling Primitives for Compiling Parallel Languages,ess parallelism degrades into sequential calls with the attendant efficient stack management and direct transfer of control and data, unless a call truly needs to execute in parallel, in which case it gets its own thread of control. We show how these techniques can be applied to distribute work efficiently on multiprocessors.
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Data-parallel Language Features for Sparse Codes,ions on distributed-memory machines. Finally, we propose extensions to the data distribution facilities in Vienna Fortran which address these issues and provide a powerful mechanism for efficiently expressing sparse algorithms.
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he same title, and 13 extended abstracts from theposter session. .Starting with new developments in classical problems of parallelcompiler design, such as dependence analysis and an exploration ofloop parallelism, the book goes on to address the issues of compilerstrategy for specific architectures
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CDA Loop Transformations,portunities that earlier frameworks cannot. We present four optimization contexts in which CDA can be useful. Our initial experiments demonstrate that CDA adds a new dimension to performance optimization.
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Compiling for Multithreaded Multicomputer, and optimizes both spatial and temporal data reference locality. The created threads exhibit high level of intra-thread and inter-thread data locality which effectively reduces the cache miss rate and total execution time of numerically intensive computation.
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